Llama 4 (Meta) vs Sora (Discontinued)

Llama 4 (Meta) is the clear winner: 7.9/10 (B-tier) versus 5.0/10 (D-tier). Sora (Discontinued) isn't a bad tool, but on every category that drives the overall score, Llama 4 (Meta) comes out ahead. The tier gap is repeatable -- not methodology noise -- and the day-to-day experience reflects it.

On pricing, Llama 4 (Meta) starts free while Sora (Discontinued) requires a paid plan from day one (N/A+). If you're testing the waters or running an occasional workload, that gap matters more than the score differential. Llama 4 (Meta) starts at $0; Sora (Discontinued) starts at N/A. Compare what each entry tier actually unlocks before you compare list prices -- the limits matter more than the headline number.

By use case: pick Llama 4 (Meta) when developers and teams who need a permissively-licensed open-weights model with strong tooling, long context (scout), or multimodal (maverick). Pick Sora (Discontinued) when historical context only -- the consumer product is shut down as of 2026-04-26. The two tools aren't fighting for the same person -- they're aiming at adjacent jobs that occasionally overlap. If you're squarely in Llama 4 (Meta)'s lane, the tier-list ranking and the use-case fit point the same direction; if you're in Sora (Discontinued)'s lane, the score gap matters less than the fit.

Bottom line: Llama 4 (Meta) is the better tool for most people right now. Pick Sora (Discontinued) only when historical context only -- the consumer product is shut down as of 2026-04-26 -- that's its lane, and inside that lane it still earns its place.